Peishi Jiang

Explore Spatio‐Temporal Learning of Large Sample Hydrology Using Graph Neural Networks

Alexander Y. Sun, Peishi Jiang, Maruti Kumar Mudunuru et al. · Water Resources Research · 2021 · 110 citations · Full text

Hydrological Prediction, Graph Representation Learning, Machine Learning +16

A graph neural network (GNN) approach to basin-scale river network learning: the role of physics-based connectivity and data fusion

Alexander Y. Sun, Peishi Jiang, Zong‐Liang Yang et al. · Hydrology and earth system sciences · 2022 · 77 citations · Full text

Convolutional Neural Network, Hydrological Prediction, Engineering +16

Debates—Does Information Theory Provide a New Paradigm for Earth Science? Causality, Interaction, and Feedback

Allison E. Goodwell, Peishi Jiang, Benjamin L. Ruddell et al. · Water Resources Research · 2020 · 75 citations · Full text

Hydrological Prediction, Engineering, Information Processing +23

A service-oriented architecture for coupling web service models using the Basic Model Interface (BMI)

Peishi Jiang, M. Elag, Praveen Kumar et al. · Environmental Modelling & Software · 2017 · 50 citations

Web Service Specification, Engineering, Web Service Modeling +12

Using Information Flow for Whole System Understanding From Component Dynamics

Peishi Jiang, Praveen Kumar · Water Resources Research · 2019 · 32 citations · Full text

Engineering, Complex Systems, Intelligent Systems +23